We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we’re all a part of something bigger than ourselves. Are you ready to change the way the world moves? 
Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position... 
The team is highly valued because they provide critical data that aids in making important decisions, including preparing information for the Board of Directors, making the role high-visibility and impactful.

The role involves constant new and challenging tasks, requiring problem-solving with data analytics and finding innovative ways to use data to support the team.

In this position the candidate would: 
• Apply analytical techniques to establish best practices and continuously improve Product Development.
•  Prepare technical documents and presentations to ensure effective communication on     quality topics.
•  Lead in development of necessary generic quality documents, ensure consistency and use of best practices and lessons learned. 
•  Provide technical leadership and make decisions in quality issues, resolution development, robust and systemic containment actions, and prevent recurrences. 
•  Develop and implement tools aiding engineers in quality resolution efficiency. 
•  Lead development and improvement of the process and tools that support warranty cost reduction.
•  Develop and apply project management disciplines.
•  Train and mentor IPTSE Engineers in correct utilization and presentation of quality data. 
•  Creation and maintenance of OPD Trainings, requirements, and single point lessons 
•  Work with PD & GDIA teams to extract, summarize and analyze Connected Vehicle data to lead problem solving issues. 
•  Promote utilization of leading indicators to drive early issue detection and resolution. Ie. Internal indicators, ECATs, REDCRs, VOCF and connected vehicle data. 
•  Support data discovery for prognostics development. 
• Teach OPD Engineers use of Motive and Agile Data Collection and methods (Quality.Ai, CVDOS, Agile Vehicle Requests, Google Cloud Console) 
•  Mentor organization in data manipulation tools and methods (Alteryx, Tableau, Qlik Sense, Binning.)
•  Enhance capabilities of quality team through providing technical expertise on quality methods and data analytics.
•  Drive data driven decision making and issue resolution cross functionally ensuring quality IPTSE performance. 
•  Host Tech Club hours. 
•  Continuously improve PD Quality Processes by enhancing requirements and process metrics based on lessons learned. 
•  Lead IPTSE quality team members in understanding of issues and more standardized effective communication/ presentation. 
 

You'll have... 
3+ years Data Analytics experience

3+ years mentoring, teaching

Bachelor's degree in engineering

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!

As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:

• Immediate medical, dental, vision and prescription drug coverage

• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

• Vehicle discount program for employees and family members and management leases

• Tuition assistance

• Established and active employee resource groups

• Paid time off for individual and team community service

• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day

• Paid time off and the option to purchase additional vacation time.

For more information on salary and benefits, click here: https://fordcareers.co/LL6NonHTHD
This position is a range of salary grades LL6 .

Visa sponsorship is not available for this position. 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

Onsite work of up to three days per week may be required for candidates within commuting distance of a Ford hub location. #LI-Hybrid   #LI-KH2
 

Quality Analytics Technical Specialist - Key Responsibilities
This role will leverage data analytics and project management skills to significantly improve IPTSE quality and reduce warranty costs.

Key responsibilities include:
I. Data Analysis & Improvement:
Analyze large datasets (connected vehicle data, warranty claims, internal indicators such as ECATs and REDCRs) to identify trends, root causes of quality issues, and opportunities for improvement.
Develop and implement tools and processes to enhance efficiency in quality resolution and early issue detection.
Cultivate and apply machine learning techniques to predict potential future issues based on historical data.
Support data discovery for prognostics development.

II. Communication & Collaboration:
Prepare technical documentation and presentations to communicate quality findings and recommendations effectively to various stakeholders (Core Quality, Quality Analytics, Residents, Calibration, GDIA, High and Low time in Service teams, Core/Powerpacks, PD & GDIA teams).
Lead and mentor IPTSE engineers in the use of quality data, analysis tools (Alteryx, Tableau, Qlik Sense), and data presentation best practices.
Provide training on OPD processes, requirements, and lessons learned.

III. Process Improvement & Project Management:
Develop and implement robust, systemic containment actions to prevent recurrence of quality issues.
Lead the enhancement of processes and tools supporting warranty cost reduction.
Continuously improve PD Quality Processes by enhancing requirements and process metrics based on lessons learned.
Champion data-driven decision making and issue resolution across functions.

IV. Technical Expertise & Leadership:
Provide technical leadership and decision-making on quality issues.
Establish and maintain best practices for quality detection and prognostics.
Enhance the capabilities of the quality team through technical expertise in quality methods and data analytics.

Minimum Bachelor Engineering

3+ years Data Analytics experience

Communication, mentor, teach